کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
383940 | 660837 | 2013 | 14 صفحه PDF | دانلود رایگان |
This paper presents a new algorithm for fingerprint indexing, which is based on minutia triplets, and it is very tolerant to missing and spurious minutiae. In this sense, a novel representation for fingerprints is proposed by defining a triangle set based on extensions of Delaunay triangulations. Moreover, a set of robust features is used to build indices. Finally, a recovery method based on calculating the recommendation score is introduced, using a new similarity function between geometric transformations. Our proposal was tested on well known databases, showing that it outperforms most of the already reported methods, especially under conditions of distortions.
► We propose new fingerprint representation based on minutiae triangles.
► Delaunay triangles and other redundant ones are used in this representation.
► Redundant triangles help to deal with the problem of missing and spurious minutiae.
► Robust fingerprint features are also used in the proposed indexing scheme.
► The retrieval step is based on clustering in the transformation space.
Journal: Expert Systems with Applications - Volume 40, Issue 8, 15 June 2013, Pages 2858–2871